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Personalized language offline learning method based on deep neural network

A technology of deep neural network and neural network, applied in the field of offline learning of personalized language

Pending Publication Date: 2021-03-26
成都启英泰伦科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult for people who cannot speak Mandarin or whose Mandarin recognition is not standard to use these voice control products freely

Method used

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  • Personalized language offline learning method based on deep neural network
  • Personalized language offline learning method based on deep neural network
  • Personalized language offline learning method based on deep neural network

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Embodiment Construction

[0029] Specific embodiments of the present invention will be further described in detail below.

[0030] The offline personalized language self-learning method based on the deep neural network of the present invention, such as figure 1 shown, including the following steps:

[0031] S11. The system enters the learning state;

[0032] S12. The user uses the language to be learned by the system to read aloud, and the system continues to collect voice; perform deep neural network operations on the collected voice data to obtain neural network acoustic features, and store the features;

[0033] The voice reading performed in step 2 is generally not shorter than 2 seconds.

[0034] S13. Step S12 is repeated multiple times, and the system performs deep neural network operations on the voice data collected each time to obtain the neural network acoustic features;

[0035] For the multiple neural network acoustic features obtained, the marginal distance is calculated in pairs;

[0...

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PUM

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Abstract

The invention discloses a personalized language offline learning method based on a deep neural network. The method comprises the following steps: S11, making a system enter a learning state, S12, by the language to be learned by the system, realizing user reading and by the system, continuously performing voice acquisition, performing deep neural network operation on the acquired voice data to obtain neural network acoustic features, and storing the features, S13, repeating the step S12 for multiple times, and performing deep neural network operation on the voice data acquired each time by thesystem to obtain neural network acoustic characteristics, calculating marginal distances of the plurality of obtained neural network acoustic features in pairs, and S14, by the system, judging the obtained marginal distance. According to the invention, the neural network acoustic features are used to realize personalized language self-learning recognition, each user can learn personalized language in an offline state of the device, and the function of customizing voice command words by the user personally can be realized.

Description

technical field [0001] The invention belongs to the technical field of speech recognition, and in particular relates to a method for offline learning of personalized language based on a deep neural network. Background technique [0002] With the continuous development of the field of artificial intelligence speech recognition, more and more attention has been paid to the problem of offline personality language recognition. The current traditional offline speech recognition technology only conducts deep neural network training and recognition for specific languages, and conducts offline device speech recognition through acoustic models and language models. Usually, manufacturers will train one or more languages ​​with a deep neural network to obtain an acoustic model, and then define different language models for different products. The acoustic model defines the language, and the language model defines the recognition content. After the offline voice recognition device ente...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/16G10L15/10G10L15/07G10L15/06G10L15/05G10L15/02
CPCG10L15/02G10L15/05G10L15/063G10L15/07G10L15/10G10L15/16
Inventor 廖成欢何云鹏高君效
Owner 成都启英泰伦科技有限公司
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